Controlling Finger Movements of a 3D Printed Humanoid Hand to Grasp Cylindrical and Spherical Objects

The article presents an original design of a 3D printed humanoid hand with modular fingers. The mechanical design, hardware and software for its control are described. The working space of the fingers is geometrically determined. Different strategies for gripping spherical and cylindrical objects are presented and analyzed. The gripping methods are classified according to the contact points and the number of fingers involved. Experiments on gripping objects have been performed, on the basis of which is developed software for controlling the fingers for gripping spherical and cylindrical objects. The obtained results are discussed in order to improve the mechanical and control systems of the prototype.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/compsystech65493.2025.11136903
Citations
1
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
1.21

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article

Controlling Finger Movements of a 3D Printed Humanoid Hand to Grasp Cylindrical and Spherical Objects

Bozhidar Naydenov, Ivan Chavdarov, Ivaylo Georgiev, Валентин Николов
1 citations
Robot Manipulation and Learning
1.21
article

Controlling Finger Movements of a 3D Printed Humanoid Hand to Grasp Cylindrical and Spherical Objects

Bozhidar Naydenov, Ivan Chavdarov, Ivaylo Georgiev, Валентин Николов
article en
1 citations

Abstract

The article presents an original design of a 3D printed humanoid hand with modular fingers. The mechanical design, hardware and software for its control are described. The working space of the fingers is geometrically determined. Different strategies for gripping spherical and cylindrical objects are presented and analyzed. The gripping methods are classified according to the contact points and the number of fingers involved. Experiments on gripping objects have been performed, on the basis of which is developed software for controlling the fingers for gripping spherical and cylindrical objects. The obtained results are discussed in order to improve the mechanical and control systems of the prototype.

Bulgarian Academy of Sciences (BG), Sofia University "St. Kliment Ohridski" (BG)
Bulgarian National Science Fund
Openalex Percentile: Top 17%
Robot Manipulation and Learning
1.21
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